利用地理加权回归法将南非茨瓦内市的社会经济因素与使用公共医疗设施的机会联系起来。

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES
Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael
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引用次数: 0

摘要

医疗服务的获取受到各种社会经济因素的影响,如收入、人口群体、教育程度和医疗保险。本研究使用地理加权回归法(GWR),根据豪登省城市-地区观察站生活质量调查(2020/2021 年)的数据,调查南非茨瓦内市社会经济因素与公共医疗设施使用权之间的空间差异。社会经济预测因素包括人口组别、收入、医疗保险状况和健康满意度。GWR 模型显示,所有社会经济因素加在一起可以解释医疗设施使用率的变化(R²=0.77)。偏差残差从-2.67到1.83不等,表明模型拟合度良好,表明GWR模型在预测医疗机构就诊率方面的稳健性。非洲黑人、低收入人群和未参保人群与医疗机构就诊率的关联度相对较高(R²=0.65)。此外,空间模式显示,社会经济与医疗设施使用权之间的关系并不一致,关系的重要性随空间而变化。这项研究强调了采用空间细微差别方法来改善医疗保健设施可及性的必要性,并强调了针对当地社会环境条件采取有针对性的政策干预措施的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associating socioeconomic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa.

Access to healthcare is influenced by various socioeconomic factors such as income, population group, educational attainment and health insurance. This study used Geographically Weighted Regression (GWR) to investigate spatial variations in the association between socioeconomic factors and access to public healthcare facilities in the City of Tshwane, South Africa based on data from the Gauteng City-Region Observatory Quality of Life Survey (2020/2021). Socioeconomic predictors included population group, income, health insurance status and health satisfaction. The GWR model revealed that all socioeconomic factors combined explained the variation in access to healthcare facilities (R²=0.77). Deviance residuals, ranging from -2.67 to 1.83, demonstrated a good model fit, indicating the robustness of the GWR model in predicting access to healthcare facilities. Black African, low-income and uninsured populations had each a relatively strong association with access to healthcare facilities (R²=0.65). Additionally, spatial patterns revealed that socioeconomic relationships with access to health care facilities are not homogeneous, with significance of the relationships varying with space. This study highlights the need for a spatially nuanced approach to improving healthcare facilities access and emphasizes the need for targeted policy interventions that address local socio-environmental conditions.

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来源期刊
Geospatial Health
Geospatial Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.40
自引率
11.80%
发文量
48
审稿时长
12 months
期刊介绍: The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.
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